Articles | Volume 23, issue 6
Research article
26 Jun 2023
Research article |  | 26 Jun 2023

The potential of open-access data for flood estimations: uncovering inundation hotspots in Ho Chi Minh City, Vietnam, through a normalized flood severity index

Leon Scheiber, Mazen Hoballah Jalloul, Christian Jordan, Jan Visscher, Hong Quan Nguyen, and Torsten Schlurmann

Data sets

OpenTopography ALOS

PlanetDEM 30 Plus Planet Observer

ASTER Global Digital Elevation Model V003 ASTER

Copernicus DEM -- Global and European Digital Elevation Model (COP-DEM) ESA

Shuttle Radar Topography Mission (SRTM NASA

Sea level measured by tide gauges from global oceans -- the Joint Archive for Sea Level holdings (NCEI Accession 0019568) P. Caldwell, M. Merrifield, and P. Thompson

Short summary
Numerical models are increasingly important for assessing urban flooding, yet reliable input data are oftentimes hard to obtain. Taking Ho Chi Minh City as an example, this paper explores the usability and reliability of open-access data to produce preliminary risk maps that provide first insights into potential flooding hotspots. As a key novelty, a normalized flood severity index is presented which combines flood depth and duration to enhance the interpretation of hydro-numerical results.
Final-revised paper